What ' s on the horizon for macroecology?

By Jan Beck, L. Ballesteros‐Mejia, Carsten M. Buchmann, Jürgen Dengler, Susanne A. Fritz, Bernd Gruber, C. Hof, F. Jansen, Sonja Knapp, H. Kreft and 3 more. 2012

221 citations recorded by the source corpus.

Subfields: Demography, Economics and Econometrics, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/554567c8cadfde7de28f002e57c134f9d788d550

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Citations in the corpus

Seven Shortfalls that Beset Large-Scale Knowledge of Biodiversity (2015, background): “…techniques allow researchers to incorporate covariates to account for measurement error, but an increasingly popular analytical strategy in ecological and evolutionary research is the switch from significance testing to probabilistic approaches and Bayesian analyses (Clark 2005, Beck et al. 2012).”
Spatial bias in the GBIF database and its effect on modeling species' geographic distributions (2014, background): “GBIF is not the only initiative of its kind, but it is by far the largest and is therefore seen as major step in closing the aforementioned data gap (Jetz et al., 2012; Beck et al., 2012).”
The spatial scaling of beta diversity (2013, background): “In the near future, we can envisage this filling a significant gap in the incorporation of fine-grained empirical data into macroecological studies over large spatial extents (Beck et al., 2012).”
sPlot – A new tool for global vegetation analyses (2019, background): “Understanding the links between biodiversity patterns and assembly processes requires fine- grain data on the co- occurrence of species in ecological communities, sampled across continental or global spatial extents (Beck et al., 2012; Wisz et al., 2013).”
Undersampling and the measurement of beta diversity (2013, background): “…i.e. not recording all species present at a site, has been recognized as the rule rather than the exception in field studies from species-rich systems (Coddington et al. 2009), and it also plays a role in many assessments of gamma diversity at macroecological scales (Beck et al. 2012a).”
Stacking species distribution models and adjusting bias by linking them to macroecological models (2014, background): “…of data is inherently much better than range maps or atlas data, because environmental conditions can be quantified without the loss of subscale variability than is inevitable with grid-based analyses (see Rocchini et al., 2011, and Beck et al., 2012, for recent discussions of data quality issues).”
Online solutions and the ‘Wallacean shortfall’: what does GBIF contribute to our knowledge of species' ranges? (2013, background): “GBIF is currently the leading platform for publishing such information (see Jetz et al., 2012; Beck et al., 2012 for other initiatives), but there is still a room for improvement.”
Why do birds migrate? A macroecological perspective (2015, background): “…http://wileyonlinelibrary.com/journal/geb 1 2009) to models that can be used to test explicitly formulated hypotheses about the mechanistic processes underpinning the distribution of biodiversity (e.g. Muneepeerakul et al., 2008; Pigot et al., 2010; see also Beck et al., 2012; Keith et al., 2012).”